I audit AI agents and tell you exactly what's broken — then I fix it.

Your AI agent might be: • Hallucinating (saying things that aren't true) • Drifting (changing behavior over time without you noticing) • Leaking sensitive information • Making unauthorized decisions • Failing silently

I built Aegis Platform — the trust infrastructure for autonomous AI agents. It's a production-grade platform that tests, monitors, and proves agent behavior before and after deployment.

What I deliver in 2–5 days:

Complete audit of your AI agent's reliability

Detection of hallucinations, drift, compliance violations, and security gaps

A signed, verifiable audit report you can show to regulators or your board

Specific fixes for every issue found — delivered as working code

How it works:

I run your agent through Aegis Platform's 7-engine audit pipeline: • AgentID — verifies cryptographic identity • Iron-Thread — validates output structure • TestThread — runs behavioral tests • PolicyThread — checks compliance policies • Behavioural Fingerprint — detects drift • DriftWatch — checks against ground truth • ThreadWatch — aggregates a Trust Score

222 tests. 0 failures. Every result cryptographically chained.

Examples of what I've built:

• Thread Suite — 9 open-source AI reliability tools on PyPI/npm • Aegis Platform — 7-engine audit pipeline (222 tests, 0 failures) • ConsciousNet — enterprise decision-synthesis framework

Why me:

I built 9 open-source AI reliability tools used internationally. I submitted original AI memory research to Anthropic. I've delivered enterprise intelligence to Holcim Group, Anglo American, and Standard Bank.

You don't pay until you see the audit report.

Portfolio: threadsuite.netlify.app | GitHub: github.com/eugene001dayne Aegis Platform demo available on request.

Available to start today.